1.8 SOA/EA CPD, CAS CE Credits/Training Hours
This is a potential source of 1.5 hours of CPD for the Canadian Institute of Actuaries

Predictive Analytics is all the rage in the actuarial (and larger) world – but what is it? And how can actuaries use it and implement it? In this webcast, viewers will be introduced to predictive analytics as applicable to actuarial work, and the world of insurance more generally.

There will be no formulas! The focus will be on what different techniques can do, as opposed to the mathematical underpinnings of the approaches. Some pros and cons of each technique will be explored.

Examples will be shown using an R environment, using publicly available data.

Instructor:

Mary Pat Campbell, FSA, MAAA, PRM, is Vice President, Insurance Research at Conning in Hartford, Connecticut. She also teaches courses on computing (Excel, Access, and VBA) and business writing for actuarial science students at the University of Connecticut.

Mary Pat has had a long-standing interest in modeling techniques, having worked on models covering*molecular physics, neuroscience, finance, population studies, signal processing, statistics, information retrieval, electronic logic games, and, of course, actuarial models. Mary Pat Campbell is a founding member of the SOA Modeling Session and is co-editor of its newsletter, The Modeling Platform.

Mary Pat wrote "Getting Started in Predictive Analytics: Books and Courses" in the December 2015 issue of the Predictive Analytics and Futurism newsletter (link:Click HERE) and presented at the 2016 Life and Annuity Symposium: Session 16 -- Predictive Analytics, Where Do I Even Start?

Who Should Attend?

Actuaries and non-actuaries who are interested in understanding the different approaches to predictive analytics. No prior knowledge of predictive analytics or the R language is assumed.